متابعة
N. Siddharth
N. Siddharth
Reader in Explainable AI, University of Edinburgh
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Learning disentangled representations with semi-supervised deep generative models‏
N Siddharth, B Paige, JW Van de Meent, A Desmaison, N Goodman, ...‏
432*2018
Disentangling Disentanglement in Variational Autoencoders‏
E Mathieu, T Rainforth, N Siddharth, YW Teh‏
International Conference on Machine Learning, 4402-4412, 2019‏
3562019
Variational mixture-of-experts autoencoders for multi-modal deep generative models‏
Y Shi, N Siddharth, B Paige, PHS Torr‏
Advances in Neural Information Processing Systems, 2019‏
3332019
Gradient matching for domain generalization‏
Y Shi, J Seely, PHS Torr, N Siddharth, A Hannun, N Usunier, G Synnaeve‏
arXiv preprint arXiv:2104.09937, 2021‏
3282021
Recognize human activities from partially observed videos‏
Y Cao, D Barrett, A Barbu, N Siddharth, H Yu, A Michaux, Y Lin, ...‏
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013‏
2432013
Structured disentangled representations‏
B Esmaeili, H Wu, S Jain, A Bozkurt, N Siddharth, B Paige, DH Brooks, ...‏
Proceedings of the 22nd International Conference on Artificial Intelligence …, 2018‏
2192018
Video In Sentences Out‏
A Barbu, A Bridge, Z Burchill, D Coroian, S Dickinson, S Fidler, A Michaux, ...‏
UAI, 102-112, 2012‏
2092012
Adversarial masking for self-supervised learning‏
Y Shi, N Siddharth, P Torr, AR Kosiorek‏
International Conference on Machine Learning, 20026-20040, 2022‏
1042022
Playing doom with slam-augmented deep reinforcement learning‏
S Bhatti, A Desmaison, O Miksik, N Nardelli, N Siddharth, PHS Torr‏
arXiv preprint arXiv:1612.00380, 2016‏
982016
Revisiting reweighted wake-sleep for models with stochastic control flow‏
TA Le, AR Kosiorek, N Siddharth, YW Teh, F Wood‏
Uncertainty in Artificial Intelligence, 1039-1049, 2020‏
76*2020
Capturing label characteristics in VAEs‏
T Joy, SM Schmon, PHS Torr, N Siddharth, T Rainforth‏
International Conference On Learning Representations, 2021‏
60*2021
Faithful inversion of generative models for effective amortized inference‏
S Webb, A Golinski, R Zinkov, N Siddharth, T Rainforth, YW Teh, F Wood‏
Advances in Neural Information Processing Systems, 3074-3084, 2018‏
532018
Seeing What You’re Told: Sentence-Guided Activity Recognition in Video‏
N Siddharth, A Barbu, JM Siskind‏
Proceedings of the 27th IEEE Conference on Computer Vision and Pattern …, 2014‏
52*2014
A compositional framework for grounding language inference, generation, and acquisition in video‏
H Yu, N Siddharth, A Barbu, JM Siskind‏
Journal of Artificial Intelligence Research 52, 601-713, 2015‏
492015
FlipDial: A generative model for two-way visual dialogue‏
D Massiceti, N Siddharth, PK Dokania, PHS Torr‏
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018‏
482018
Relating by contrasting: A data-efficient framework for multimodal DGMs‏
Y Shi, B Paige, PHS Torr, N Siddharth‏
Open Review, 2021‏
45*2021
Correlating videos and sentences‏
JM Siskind, A Barbu, N Siddharth, H Yu‏
US Patent 9,183,466, 2015‏
432015
Seeing is Worse than Believing: Reading People’s Minds Better than Computer-Vision Methods Recognize Actions‏
A Barbu, DP Barrett, W Chen, N Siddharth, C Xiong, JJ Corso, ...‏
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014‏
412014
Multitask Soft Option Learning‏
M Igl, A Gambardella, J He, N Nardelli, N Siddharth, W Böhmer, ...‏
arXiv preprint arXiv:1904.01033, 2019‏
332019
Visual dialogue without vision or dialogue‏
D Massiceti, PK Dokania, N Siddharth, PHS Torr‏
arXiv preprint arXiv:1812.06417, 2018‏
322018
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مقالات 1–20